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Massachusetts Institute of Technology

Dense, sonar-based reconstruction of underwater scenes

Abstract

dc:description.abstract

Three-dimensional maps of underwater scenes are critical to-or the desired end product of-many applications, spanning a spectrum of spatial scales. Examples range from inspection of subsea infrastructure to hydrographic surveys of coastlines. Depending on the end use, maps will have different accuracy requirements. The accuracy of a mapping platform depends mainly on the individual accuracies of (i) its pose estimate in some global frame, (ii) the estimates of offsets between mapping sensors and platform, and (iii) the accuracy of the mapping sensor measurements. Typically, surface-based surveying platforms will employ highly accurate positioning sensors-e.g. a combination of differential global navigation satellite system (GNSS) receiver with an accurate attitude and heading reference system-to instrument the pose of a mapping sensor such as a multibeam sonar.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Joint Program in Applied Ocean Science and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Vaz Teixeira, Pedro Nuno.
Advisor dc:contributor.advisor
  • John J. Leonard.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/123776
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/123776

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Vaz Teixeira, Pedro Nuno.. Dense, sonar-based reconstruction of underwater scenes. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123776